To prevent data from getting lost, not captured correctly for each month/week, let's document our processes.
We might already have some of these documents, if so let's better organize them.
Brief, high level doc summarizing how data is collected, stored, analyzed/reviewed, and monitoring.
QA of data, e2e tests, scripts, verify that data is captured accurately.
QA process of primary and secondary data sources Tableau and Crazyegg
User Story
As a team member, I would like a high-level document summarizing the data collection process, storage methods, analysis/review procedures, and monitoring protocols so that I have a clear understanding of how data is captured.
As a data analyst, I want to review existing documentation on data collection process and organize them to make it easier for team members and stakeholders to access and reference for KPIs/metrics, etc.
As a data analyst or data stakeholder, I want to review processes and be updated on current data and changes to prevent redundancy in data collection, data pulls, etc.
Acceptance Criteria
[ ] One or several documents that capture the data collection processes
fongcindy
commented
2 weeks ago
Description
To prevent data from getting lost, not captured correctly for each month/week, let's document our processes. We might already have some of these documents, if so let's better organize them.
User Story
Acceptance Criteria
Related: #1443